{"id":"W2150427664","doi":"10.1139/er-2013-0059","title":"Methylmercury biogeochemistry: a review with special reference to Arctic aquatic ecosystems","year":2014,"lang":"en","type":"review","venue":"Environmental Reviews","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Alberta Innovates","keywords":"Methylmercury; Bioaccumulation; Biomagnification; Environmental chemistry; Mercury (programming language); Arctic; Biogeochemistry; Aquatic ecosystem; Ecosystem; Environmental science; Marine ecosystem; Food chain; Ecology; Food web; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003389299,0.001397471,0.001231612,0.003202722,0.0004097248,0.00127148,0.0007965588,0.0009594936,0.00479163],"category_scores_gemma":[0.0005319777,0.000339208,0.0007343563,0.005511553,0.0004086369,0.001664411,0.0009222878,0.001066299,0.00193831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008515843,"about_ca_system_score_gemma":0.001981651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004810412,"about_ca_topic_score_gemma":0.00542768,"domain_scores_codex":[0.9998279,0.00001865477,0.00003048505,0.00005076244,0.00004775662,0.00002439763],"domain_scores_gemma":[0.999655,0.00009708985,0.00008300322,0.00001139266,0.0001135201,0.00003984509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001256852,0.0001140473,0.001489323,0.05815619,0.000303286,0.0006151175,0.0002891964,0.001406683,0.008238117,0.003649804,0.06660929,0.8590032],"study_design_scores_gemma":[0.000005537657,0.0001002107,0.003599733,0.00492456,0.0002297931,0.001167445,0.0001197573,0.0001318583,0.0007503913,0.0011762,0.9877636,0.00003092727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003439893,0.9979407,0.0001409467,0.0002054505,0.0002879439,0.000003586583,0.00006937197,0.00001091021,0.0009969941],"genre_scores_gemma":[0.0009782939,0.997721,0.0001887162,0.0001547074,0.0002633969,0.000003961744,0.0000883164,0.000002941952,0.0005986967],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004810412,"threshold_uncertainty_score":0.01602954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04847382845622777,"score_gpt":0.3162338129069204,"score_spread":0.2677599844506926,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}